|  | // This file is part of Eigen, a lightweight C++ template library | 
|  | // for linear algebra. | 
|  | // | 
|  | // Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr> | 
|  | // | 
|  | // This Source Code Form is subject to the terms of the Mozilla | 
|  | // Public License v. 2.0. If a copy of the MPL was not distributed | 
|  | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | 
|  |  | 
|  | #include "sparse.h" | 
|  |  | 
|  | template<typename Scalar> void | 
|  | initSPD(double density, | 
|  | Matrix<Scalar,Dynamic,Dynamic>& refMat, | 
|  | SparseMatrix<Scalar>& sparseMat) | 
|  | { | 
|  | Matrix<Scalar,Dynamic,Dynamic> aux(refMat.rows(),refMat.cols()); | 
|  | initSparse(density,refMat,sparseMat); | 
|  | refMat = refMat * refMat.adjoint(); | 
|  | for (int k=0; k<2; ++k) | 
|  | { | 
|  | initSparse(density,aux,sparseMat,ForceNonZeroDiag); | 
|  | refMat += aux * aux.adjoint(); | 
|  | } | 
|  | sparseMat.setZero(); | 
|  | for (int j=0 ; j<sparseMat.cols(); ++j) | 
|  | for (int i=j ; i<sparseMat.rows(); ++i) | 
|  | if (refMat(i,j)!=Scalar(0)) | 
|  | sparseMat.insert(i,j) = refMat(i,j); | 
|  | sparseMat.finalize(); | 
|  | } | 
|  |  | 
|  | template<typename Scalar> void sparse_solvers(int rows, int cols) | 
|  | { | 
|  | double density = (std::max)(8./(rows*cols), 0.01); | 
|  | typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix; | 
|  | typedef Matrix<Scalar,Dynamic,1> DenseVector; | 
|  | // Scalar eps = 1e-6; | 
|  |  | 
|  | DenseVector vec1 = DenseVector::Random(rows); | 
|  |  | 
|  | std::vector<Vector2i> zeroCoords; | 
|  | std::vector<Vector2i> nonzeroCoords; | 
|  |  | 
|  | // test triangular solver | 
|  | { | 
|  | DenseVector vec2 = vec1, vec3 = vec1; | 
|  | SparseMatrix<Scalar> m2(rows, cols); | 
|  | DenseMatrix refMat2 = DenseMatrix::Zero(rows, cols); | 
|  |  | 
|  | // lower - dense | 
|  | initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); | 
|  | VERIFY_IS_APPROX(refMat2.template triangularView<Lower>().solve(vec2), | 
|  | m2.template triangularView<Lower>().solve(vec3)); | 
|  |  | 
|  | // upper - dense | 
|  | initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); | 
|  | VERIFY_IS_APPROX(refMat2.template triangularView<Upper>().solve(vec2), | 
|  | m2.template triangularView<Upper>().solve(vec3)); | 
|  | VERIFY_IS_APPROX(refMat2.conjugate().template triangularView<Upper>().solve(vec2), | 
|  | m2.conjugate().template triangularView<Upper>().solve(vec3)); | 
|  | { | 
|  | SparseMatrix<Scalar> cm2(m2); | 
|  | //Index rows, Index cols, Index nnz, Index* outerIndexPtr, Index* innerIndexPtr, Scalar* valuePtr | 
|  | MappedSparseMatrix<Scalar> mm2(rows, cols, cm2.nonZeros(), cm2.outerIndexPtr(), cm2.innerIndexPtr(), cm2.valuePtr()); | 
|  | VERIFY_IS_APPROX(refMat2.conjugate().template triangularView<Upper>().solve(vec2), | 
|  | mm2.conjugate().template triangularView<Upper>().solve(vec3)); | 
|  | } | 
|  |  | 
|  | // lower - transpose | 
|  | initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); | 
|  | VERIFY_IS_APPROX(refMat2.transpose().template triangularView<Upper>().solve(vec2), | 
|  | m2.transpose().template triangularView<Upper>().solve(vec3)); | 
|  |  | 
|  | // upper - transpose | 
|  | initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular, &zeroCoords, &nonzeroCoords); | 
|  | VERIFY_IS_APPROX(refMat2.transpose().template triangularView<Lower>().solve(vec2), | 
|  | m2.transpose().template triangularView<Lower>().solve(vec3)); | 
|  |  | 
|  | SparseMatrix<Scalar> matB(rows, rows); | 
|  | DenseMatrix refMatB = DenseMatrix::Zero(rows, rows); | 
|  |  | 
|  | // lower - sparse | 
|  | initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular); | 
|  | initSparse<Scalar>(density, refMatB, matB); | 
|  | refMat2.template triangularView<Lower>().solveInPlace(refMatB); | 
|  | m2.template triangularView<Lower>().solveInPlace(matB); | 
|  | VERIFY_IS_APPROX(matB.toDense(), refMatB); | 
|  |  | 
|  | // upper - sparse | 
|  | initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeUpperTriangular); | 
|  | initSparse<Scalar>(density, refMatB, matB); | 
|  | refMat2.template triangularView<Upper>().solveInPlace(refMatB); | 
|  | m2.template triangularView<Upper>().solveInPlace(matB); | 
|  | VERIFY_IS_APPROX(matB, refMatB); | 
|  |  | 
|  | // test deprecated API | 
|  | initSparse<Scalar>(density, refMat2, m2, ForceNonZeroDiag|MakeLowerTriangular, &zeroCoords, &nonzeroCoords); | 
|  | VERIFY_IS_APPROX(refMat2.template triangularView<Lower>().solve(vec2), | 
|  | m2.template triangularView<Lower>().solve(vec3)); | 
|  |  | 
|  | // test empty triangular matrix | 
|  | { | 
|  | m2.resize(0,0); | 
|  | refMatB.resize(0,refMatB.cols()); | 
|  | DenseMatrix res = m2.template triangularView<Lower>().solve(refMatB); | 
|  | VERIFY_IS_EQUAL(res.rows(),0); | 
|  | VERIFY_IS_EQUAL(res.cols(),refMatB.cols()); | 
|  | res = refMatB; | 
|  | m2.template triangularView<Lower>().solveInPlace(res); | 
|  | VERIFY_IS_EQUAL(res.rows(),0); | 
|  | VERIFY_IS_EQUAL(res.cols(),refMatB.cols()); | 
|  | } | 
|  | } | 
|  | } | 
|  |  | 
|  | EIGEN_DECLARE_TEST(sparse_solvers) | 
|  | { | 
|  | for(int i = 0; i < g_repeat; i++) { | 
|  | CALL_SUBTEST_1(sparse_solvers<double>(8, 8) ); | 
|  | int s = internal::random<int>(1,300); | 
|  | CALL_SUBTEST_2(sparse_solvers<std::complex<double> >(s,s) ); | 
|  | CALL_SUBTEST_1(sparse_solvers<double>(s,s) ); | 
|  | } | 
|  | } |